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Description
Evaluating the dynamics of aerosols and particle deposition in the respiratory tract accurately is critical for studying inhalation-based drug delivery and the effects of toxic particles. This process involves complex, multiphase flows with different respiratory characteristics and plays a significant role in its impact on human health. Computational Fluid Dynamics (CFD) offers a vital tool to overcome the limitations of in vivo and in vitro experiments, enabling a microscopic understanding of the fundamental mechanisms of respiratory flow and particle behavior. Understanding the behavior of aerosol particles and airflow dynamics within the respiratory system is essential for achieving desired therapeutic outcomes and reducing disease risks.
Technological advancements have enabled the development of image-based models that enhance the efficiency of numerical and experimental research. CFD plays a crucial role by providing simulations to evaluate the primary parameters affecting aerosol deposition. This study presents a comprehensive literature review of various methods and solutions developed for aerosol dynamics in the human respiratory system.
Academic studies were critically analyzed, focusing on airflow and particulate matter deposition in different respiratory regions. The results reveal that aerosol dynamics vary depending on particle size, charge, and hygroscopic properties. These analyses form a foundation for developing both aerosol-based therapeutic strategies and mitigating the effects of toxic particles on human health. Furthermore, they pave the way for future research through more effective simulation approaches.
Keywords | Human Respiratory System, Aerosol Deposition, Hygroscopicity, CFD, ExDoM |
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